Make a World map of electricity consumption per capita by country
The question
761363Make a World map of electricity consumption per capita by country.
Exact submitted task and declared adaptations
Make a World map of electricity consumption per capita by country.
Task conventions: Use the frozen country polygons and World Bank EG.USE.ELEC.KH.PC 2014 column, in kWh per capita. These are country-level indicators, not a subnational surface or a new regional aggregation. Join the supplied ISO_A3 to Country Code exactly. Nonmatching identifiers and missing measurements remain unknown; do not guess them or substitute another year. Retain every original country feature and benchmark_row_id, including unknowns. No data must have a distinct map category, not zero. Create a quantitative choropleth with five quantile classes (fewer only if tied values collapse breaks), a visible legend with numeric bounds and units, and a neutral No data category. Values equal to a class break enter the upper class. Preserve negative and genuine zero values. This fixed classification and year are disclosed evaluation conventions; do not retrieve live replacements.
Add the resulting quantitative country layer to the map and retain an inspectable data artifact containing the original country geometry, benchmark_row_id, numeric value and class. End with one fenced JSON object: {count: countries with a known numeric value, unknown_count: countries without one, coverage_note: string, selection: {collectionId, itemId, assetKey}, value_field: numeric_column_name, class_field: classification_column_name, map_layer_id: delivered_layer_id}. The artifact must include known AND unknown countries, not only the known subset. Explain the year, units, key limitations and legend in the final response.
Delivery format: provide the answer object with all fields specified above as final_response on assess_result, alongside the inspected final artifact_refs. This replaces the JSON-code-block formatting requirement above. Blue attaches your explicit selection to the accepted final answer. Finish with a concise ordinary-language answer agreeing with that selected result; do not duplicate the JSON in chat.
Supplied immutable inputs:
[
{
"name": "World Bank country boundaries",
"edition": "GeoBenchX harmonized names",
"units": {},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
},
{
"name": "Electric power consumption per capita",
"edition": "Frozen WDI; use 2014",
"units": {
"2014": "kWh per capita"
},
"collectionId": "blue-generated--[resource id withheld]",
"itemId": "[resource id withheld]",
"assetKey": "data"
}
]Outcome & verification
Independent artifact and delivery checks passed.
- Duration
- 18m 32s
- Recorded Blue tool calls
- 53
- Total tokens
- 2,457,582
- Model cost
- Not recorded
- Application revision
- d50497ea9084f29c91b05406688f87035df98d8a
- Release
- terra-geobenchx-v1
Recorded final answer
Independent checks
These checks are separate from the agent's own assessment. A successful job or an assertion of success is not enough to pass.
- Expected count
- 143
- Reported count
- 143
- Computation verified
- Yes
- Answer fulfilled
- Yes
Full grading and rubric record
{
"expectedCount": 143,
"actualCount": 143,
"expectedMetrics": null,
"actualMetrics": null,
"computationCorrect": true,
"answerFulfilled": true,
"adjudication": null,
"qualification": null,
"reasons": []
}Recorded investigation findings
The agent's reported hypotheses and assessments, retained as evidence of its process—not independent proof that the answer is correct. Failed calls retain their requested verdict, not an accepted assessment.
run_trial · completed
Which exact source fields should drive the required country join and fixed 2014 value mapping?
assess_trial · completed · assessment: sufficient
The source trial identified the required fields from the supplied snapshots. The country dataset contains benchmark_row_id and ISO_A3 across 251 features. The indicator table contains Country Code and a numeric 2014 field for electric power consumption, and the indicator code is EG.USE.ELEC.KH.PC. This is enough to test the exact join and fixed-year mapping.
run_trial · completed
Does the exact world join retain every country while classifying the joined 2014 electricity values into the required quantile choropleth with No data kept separate?
assess_trial · completed · assessment: sufficient
The world-scale draft answered the main method question. The left join retained all 251 supplied country features and benchmark_row_id values. Exact ISO_A3 to Country Code matching produced 143 known 2014 values and 108 unknown values. The classified output retained all 251 countries and added elec_2014_class with class 0 present for No data and classes 1 through 5 for known values.
assess_result · failed · requested assessment: sufficient
Using the supplied immutable Blue-hosted World Bank country boundaries and frozen WDI EG.USE.ELEC.KH.PC 2014 table, retrieved on 2026-10-07, the delivered country layer retains all 251 original country features and benchmark_row_id values. The final artifact has 143 known numeric 2014 values in kWh per capita and 108 unknown countries in a separate No data class. The map layer is already bound to the map as 'Electricity consumption per capita by country, 2014'. The published legend metadata reports five quantile classes with breaks at 600.5074468359913, 1856.6549028846907, 3729.2413629083303, and 6637.020144593491 kWh per capita, plus a distinct No data category.
assess_result · completed · assessment: sufficient
Using the supplied immutable Blue-hosted World Bank country boundaries and the frozen World Bank WDI EG.USE.ELEC.KH.PC 2014 table, retrieved on 2026-10-07 UTC, the delivered country layer retains all 251 original country features and benchmark_row_id values. The final artifact has 143 known numeric 2014 values in kWh per capita and 108 unknown countries in a separate No data class. The delivered map layer is already bound to the map as 'Electricity consumption per capita by country, 2014'. The classifier summary reports five quantile classes with breaks at 600.5074468359913, 1856.6549028846907, 3729.2413629083303, and 6637.020144593491 kWh per capita, plus a distinct No data category.
Recorded workflow
- 01
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 02
Supplied country polygons
Recorded source · succeeded
- 03
Electricity consumption per capita by country, 2014
Recorded output · succeeded
- 04
Supplied electricity table
Recorded source · succeeded
- 05
Join 2014 electricity values to countries
Recorded table-attribute-join · succeeded
- 06
Classify 2014 electricity values
Recorded vector-classify · succeeded
- 07
Supplied country polygons
Recorded source · succeeded
- 08
Supplied electricity table
Recorded source · succeeded
- 09
Join 2014 electricity values to countries
Recorded table-attribute-join · succeeded
- 10
Join 2014 electricity values to countries
Recorded output · succeeded
- 11
Classify 2014 electricity values
Recorded output · succeeded
- 12
Supplied country polygons
Recorded source · succeeded
- 13
Supplied electricity table
Recorded source · succeeded
- 14
Supplied country polygons
Recorded output · succeeded
- 15
Supplied electricity table
Recorded output · succeeded
Activity
Recorded actionsRecorded observable actions only, not private reasoning. Raw payloads, geometry, private links and credentials are omitted; full evidence is retained privately. Activity/workflow lists bounded at 500 entries.
Progress update
I’ll inspect the supplied country and indicator files first, then test the join and classing on a small private draft before I save the production workflow.
get_analysis
Recorded tool call · completed
get_collection
Recorded tool call · completed
get_collection
Recorded tool call · completed
inspect_artifact
Recorded tool call · failed
inspect_artifact
Recorded tool call · failed
Progress update
I confirmed both supplied files are immutable snapshots. Next I’m checking their actual fields and a few sample rows so I can bind the exact join keys and the fixed 2014 value column.
get_tool_help
Recorded tool call · completed
get_tool_help
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list_processors
Recorded tool call · completed
list_processors
Recorded tool call · completed
list_processors
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list_processors
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list_processors
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list_processors
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get_tool_help
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describe_processors
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get_tool_help
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get_tool_help
Recorded tool call · completed
update_analysis_brief
Recorded tool call · completed
run_trial
Recorded tool call · completed
Progress update
I found the likely fields: country `ISO_A3` and indicator `Country Code` with numeric `2014`. I’m checking sample rows and then I’ll run the exact left join plus quantile classing on the full world draft so the saved workflow matches tested behavior.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve confirmed the likely binders from the source evidence. Now I’m testing the full-world method itself: exact left join on `ISO_A3` = `Country Code`, then quantile classing on the joined `2014` field. I expect 251 country features to remain, with unmatched or missing values staying unknown instead of being dropped or set to zero.
assess_trial
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
run_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
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get_tool_help
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get_trial_report
Recorded tool call · completed
Progress update
The private draft worked at world scale. Next I’m inspecting the class ranges and preview so I can save the tested production workflow with the right handoff note, then I’ll run it and bind the verified layer to your map.
Progress update
I’ve got the join coverage now: 251 countries retained, 143 with a known 2014 value, and 108 unknown. I’m pulling the exact class ranges next so the final legend text matches the tested output rather than an estimate.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The method is tested now. I’m saving that tested computation as the production workflow next, with the final output bound to the classified country layer so I can execute once, inspect the delivered artifact, and attach the verified layer to your map.
assess_trial
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
get_tool_help
Recorded tool call · completed
Progress update
I’ve replaced the old planning notes with the real remaining limitation: some country polygons do not have an exact code match or a 2014 value, so they will stay in the neutral No data class. Now I’m saving the tested workflow itself.
update_analysis_brief
Recorded tool call · completed
Progress update
I’m saving one production workflow from the tested world-scale draft. It keeps the exact join rule, the fixed 2014 field, and the five-quantile classification with No data separate.
propose_workflow
Recorded tool call · completed
execute_workflow
Recorded tool call · completed
inspect_workflow_results
Recorded tool call · completed
Progress update
The layer is already bound to the map from the finished run. I’m checking two final details before I close: the delivered table fields on the country layer, and the legend/class summary that the classifier published with it.
inspect_artifact
Recorded tool call · completed
list_map_layers
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
I’ve verified the delivered fields, counts, class breaks, and live layer binding. I’m recording the final assessment now from the actual delivered artifact: 251 countries retained, 143 known values, 108 No data, and the map layer already on your map.
update_analysis_brief
Recorded tool call · completed
assess_result
Recorded tool call · failed
Progress update
I need one last spatial preview receipt for the final artifact before Blue will accept the result. I’m grabbing that now and then I’ll submit the finished assessment.
inspect_artifact
Recorded tool call · completed
inspect_artifact
Recorded tool call · completed
Progress update
The final preview is ready. I’m attaching that verified preview receipt to the final assessment now so Blue can accept the result and keep the live layer selection tied to the answer.
Progress update
I’ve got the required final preview receipt now. I’m resubmitting the final assessment with the verified preview, the legend summary, and the delivered layer selection together.
assess_result
Recorded tool call · completed